Triple

T1302640
Position Surface form Disambiguated ID Type / Status
Subject Central Malayo-Polynesian languages E27800 entity
Predicate spokenIn P2266 FINISHED
Object Pantar
Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
E148728 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pantar | Statement: [Central Malayo-Polynesian languages, spokenIn, Pantar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantar
Context triple: [Central Malayo-Polynesian languages, spokenIn, Pantar]
  • A. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • B. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • C. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • D. Westerveld
    Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
  • E. Tiagu
    Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pantar
Triple: [Central Malayo-Polynesian languages, spokenIn, Pantar]
Generated description
Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pantar
Target entity description: Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
  • A. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • B. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • C. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • D. Westerveld
    Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
  • E. Tiagu
    Tiagu is an alternative spelling variant of the given name Tiago, commonly used in Portuguese-speaking contexts.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb3046a888190956f6bedb6ec589f completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb370c7cc81908a78bb5438416db6 completed March 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69acb409b4d0819081266cf3e6c09164 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.